2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models. / Baka, N.; Kaptein, B. L.; de Bruijne, Marleen; van Walsum, T.; Giphart, J. E.; Niessen, W. J.; Lelieveldt, B. P. F.

In: Medical Image Analysis, Vol. 15, No. 6, 2011, p. 840-850.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Baka, N, Kaptein, BL, de Bruijne, M, van Walsum, T, Giphart, JE, Niessen, WJ & Lelieveldt, BPF 2011, '2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models', Medical Image Analysis, vol. 15, no. 6, pp. 840-850. https://doi.org/10.1016/j.media.2011.04.001

APA

Baka, N., Kaptein, B. L., de Bruijne, M., van Walsum, T., Giphart, J. E., Niessen, W. J., & Lelieveldt, B. P. F. (2011). 2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models. Medical Image Analysis, 15(6), 840-850. https://doi.org/10.1016/j.media.2011.04.001

Vancouver

Baka N, Kaptein BL, de Bruijne M, van Walsum T, Giphart JE, Niessen WJ et al. 2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models. Medical Image Analysis. 2011;15(6):840-850. https://doi.org/10.1016/j.media.2011.04.001

Author

Baka, N. ; Kaptein, B. L. ; de Bruijne, Marleen ; van Walsum, T. ; Giphart, J. E. ; Niessen, W. J. ; Lelieveldt, B. P. F. / 2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models. In: Medical Image Analysis. 2011 ; Vol. 15, No. 6. pp. 840-850.

Bibtex

@article{ad64ed97d2184bfcb442d51888b71188,
title = "2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models",
abstract = "Three-dimensional patient specific bone models are required in a range of medical applications, such as pre-operative surgery planning and improved guidance during surgery, modeling and simulation, and in vivo bone motion tracking. Shape reconstruction from a small number of X-ray images is desired as it lowers both the acquisition costs and the radiation dose compared to CT. We propose a method for pose estimation and shape reconstruction of 3D bone surfaces from two (or more) calibrated X-ray images using a statistical shape model (SSM). User interaction is limited to manual initialization of the mean shape. The proposed method combines a 3D distance based objective function with automatic edge selection on a Canny edge map. Landmark-edge correspondences are weighted based on the orientation difference of the projected silhouette and the corresponding image edge. The method was evaluated by rigid pose estimation of ground truth shapes as well as 3D shape estimation using a SSM of the whole femur, from stereo cadaver X-rays, in vivo biplane fluoroscopy image-pairs, and an in vivo biplane fluoroscopic sequence. Ground truth shapes for all experiments were available in the form of CT segmentations. Rigid registration of the ground truth shape to the biplane fluoroscopy achieved sub-millimeter accuracy (0.68mm) measured as root mean squared (RMS) point-to-surface (P2S) distance. The non-rigid reconstruction from the biplane fluoroscopy using the SSM also showed promising results (1.68mm RMS P2S). A feasibility study on one fluoroscopic time series illustrates the potential of the method for motion and shape estimation from fluoroscopic sequences with minimal user interaction.",
author = "N. Baka and Kaptein, {B. L.} and {de Bruijne}, Marleen and {van Walsum}, T. and Giphart, {J. E.} and Niessen, {W. J.} and Lelieveldt, {B. P. F.}",
year = "2011",
doi = "10.1016/j.media.2011.04.001",
language = "English",
volume = "15",
pages = "840--850",
journal = "Medical Image Analysis",
issn = "1361-8415",
publisher = "Elsevier",
number = "6",

}

RIS

TY - JOUR

T1 - 2D-3D shape reconstruction of the distal femur from stereo X-Ray imaging using statistical shape models

AU - Baka, N.

AU - Kaptein, B. L.

AU - de Bruijne, Marleen

AU - van Walsum, T.

AU - Giphart, J. E.

AU - Niessen, W. J.

AU - Lelieveldt, B. P. F.

PY - 2011

Y1 - 2011

N2 - Three-dimensional patient specific bone models are required in a range of medical applications, such as pre-operative surgery planning and improved guidance during surgery, modeling and simulation, and in vivo bone motion tracking. Shape reconstruction from a small number of X-ray images is desired as it lowers both the acquisition costs and the radiation dose compared to CT. We propose a method for pose estimation and shape reconstruction of 3D bone surfaces from two (or more) calibrated X-ray images using a statistical shape model (SSM). User interaction is limited to manual initialization of the mean shape. The proposed method combines a 3D distance based objective function with automatic edge selection on a Canny edge map. Landmark-edge correspondences are weighted based on the orientation difference of the projected silhouette and the corresponding image edge. The method was evaluated by rigid pose estimation of ground truth shapes as well as 3D shape estimation using a SSM of the whole femur, from stereo cadaver X-rays, in vivo biplane fluoroscopy image-pairs, and an in vivo biplane fluoroscopic sequence. Ground truth shapes for all experiments were available in the form of CT segmentations. Rigid registration of the ground truth shape to the biplane fluoroscopy achieved sub-millimeter accuracy (0.68mm) measured as root mean squared (RMS) point-to-surface (P2S) distance. The non-rigid reconstruction from the biplane fluoroscopy using the SSM also showed promising results (1.68mm RMS P2S). A feasibility study on one fluoroscopic time series illustrates the potential of the method for motion and shape estimation from fluoroscopic sequences with minimal user interaction.

AB - Three-dimensional patient specific bone models are required in a range of medical applications, such as pre-operative surgery planning and improved guidance during surgery, modeling and simulation, and in vivo bone motion tracking. Shape reconstruction from a small number of X-ray images is desired as it lowers both the acquisition costs and the radiation dose compared to CT. We propose a method for pose estimation and shape reconstruction of 3D bone surfaces from two (or more) calibrated X-ray images using a statistical shape model (SSM). User interaction is limited to manual initialization of the mean shape. The proposed method combines a 3D distance based objective function with automatic edge selection on a Canny edge map. Landmark-edge correspondences are weighted based on the orientation difference of the projected silhouette and the corresponding image edge. The method was evaluated by rigid pose estimation of ground truth shapes as well as 3D shape estimation using a SSM of the whole femur, from stereo cadaver X-rays, in vivo biplane fluoroscopy image-pairs, and an in vivo biplane fluoroscopic sequence. Ground truth shapes for all experiments were available in the form of CT segmentations. Rigid registration of the ground truth shape to the biplane fluoroscopy achieved sub-millimeter accuracy (0.68mm) measured as root mean squared (RMS) point-to-surface (P2S) distance. The non-rigid reconstruction from the biplane fluoroscopy using the SSM also showed promising results (1.68mm RMS P2S). A feasibility study on one fluoroscopic time series illustrates the potential of the method for motion and shape estimation from fluoroscopic sequences with minimal user interaction.

U2 - 10.1016/j.media.2011.04.001

DO - 10.1016/j.media.2011.04.001

M3 - Journal article

C2 - 21600836

VL - 15

SP - 840

EP - 850

JO - Medical Image Analysis

JF - Medical Image Analysis

SN - 1361-8415

IS - 6

ER -

ID: 33950242